Evidence map›Paper›PMID 33251389›Full record

ArticleApplied biological chemistry2020

Screening marine algae metabolites as high-affinity inhibitors of SARS-CoV-2 main protease (3CLpro): an in silico analysis to identify novel drug candidates to combat COVID-19 pandemic.

Ghazala Muteeb, Adil Alshoaibi, Mohammad Aatif, Md Tabish Rehman, M Zuhaib Qayyum

Abstract read
In one paragraph

Article in Applied biological chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Marine-Derived Peptides fromMicroorganisms · 2025
    Article
  6. Investigation of phytochemicals isolated from selected Saudi medicinal plants as natural inhibitors of SARS CoV-2 main protease: In vitroSaudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2024
    Article
  7. Review
  8. Article
  9. Marine AlgaMarine drugs · 2022
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. CScientific reports · 2021
    Article
  17. Article
  18. Article
  19. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ghazala MuteebDepartment of Nursing, College of Applied Medical Science, King Faisal University, P.O. Box 400, Al-Ahsa, 31982 Saudi Arabia.
Adil AlshoaibiDepartment of Physics, College of Science, King Faisal University, P.O. Box 400, Al-Ahsa, 31982 Saudi Arabia.
Mohammad AatifDepartment of Public Health, College of Applied Medical Science, King Faisal University, P.O. Box 400, Al-Ahsa, 31982 Saudi Arabia.
Md Tabish RehmanDepartment of Pharmacognosy, College of Pharmacy, King Saud University, Riyadh, 11451 Saudi Arabia.
M Zuhaib QayyumDepartment of Biochemistry and Molecular Biology, Eberly College of Science, The Pennsylvania State University, State College, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recent dissemination of SARS-CoV-2 from Wuhan city to all over the world has created a pandemic. COVID-19 has cost many human lives and created an enormous economic burden. Although many drugs/vaccines are in different stages of clinical trials, still none is clinically available. We have screened a marine seaweed database (1110 compounds) against 3CLpro of SARS-CoV-2 using computational approaches. High throughput virtual screening was performed on compounds, and 86 of them with docking score <  - 5.000 kcal mol

Indexed as

Callophysin AMarine-derived compoundsMolecular docking and simulationSARS-CoV-2Seaweeds

Identifiers

PMID33251389
PMCPMC7680079

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.